Determination of surface deformations in the zone of nuclear power plant Kozloduy

Hristo S. Nikolov; Mila S. Atanasova-Zlatareva

doi:10.1117/12.2636265

26 October 2022 Determination of surface deformations in the zone of nuclear power plant Kozloduy

Hristo S. Nikolov, Mila S. Atanasova-Zlatareva

Proceedings Volume 12267, Image and Signal Processing for Remote Sensing XXVIII; 122670T (2022) https://doi.org/10.1117/12.2636265
Event: SPIE Remote Sensing, 2022, Berlin, Germany

Abstract

In this paper proposed is the surface deformations in the area of the nuclear power plant (NPP) Kozloduy to be analyzed using a time series of remotely sensed SAR data from the Sentinel-1 mission of ESA. It should be noted that this is the only way to obtain reliable information about the motions at regular intervals since the zone has restricted access. The justification for carrying out this study is– first the mentioned radar instrument was purposely built for study those phenomena at large scales and second the provision of the data and the software for their processing are obtained free of charge from the ESA repositories. It also should be underlined that the improved spatial resolution of the sensor compared with similar ones (e.g. ERS-1/2, Envisat) and the short revisiting time (6/12 days) allow production of information with better quality compared to the results obtained up to this moment using remotely sensed data only. In this research to produce the interferometric maps that reveal the overall ground stability of the studied region the short baseline subsets (SBAS) approach was adopted using the DInSAR technique as main processing method. Those maps can serve the needs of the competent local authorities as well as to the plant operator in order to increase the safety of the population living in the area.

Conference Presentation

Citation Download Citation

Hristo S. Nikolov and Mila S. Atanasova-Zlatareva "Determination of surface deformations in the zone of nuclear power plant Kozloduy", Proc. SPIE 12267, Image and Signal Processing for Remote Sensing XXVIII, 122670T (26 October 2022); https://doi.org/10.1117/12.2636265

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available